TY - GEN
T1 - Unified convex optimization approach to super-resolution based on localized kernels
AU - Bendory, Tamir
AU - Dekel, Shai
AU - Feuer, Arie
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/2
Y1 - 2015/7/2
N2 - The problem of resolving the fine details of a signal from its coarse scale measurements or, as it is commonly referred to in the literature, the super-resolution problem arises naturally in engineering and physics in a variety of settings. We suggest a unified convex optimization approach for super-resolution. The key is the construction of an interpolating polynomial in the measurements space based on localized kernels. We also show that the localized kernels act as the connecting thread to another wide-spread problem of stream of pulses.
AB - The problem of resolving the fine details of a signal from its coarse scale measurements or, as it is commonly referred to in the literature, the super-resolution problem arises naturally in engineering and physics in a variety of settings. We suggest a unified convex optimization approach for super-resolution. The key is the construction of an interpolating polynomial in the measurements space based on localized kernels. We also show that the localized kernels act as the connecting thread to another wide-spread problem of stream of pulses.
UR - http://www.scopus.com/inward/record.url?scp=84941042384&partnerID=8YFLogxK
U2 - 10.1109/SAMPTA.2015.7148850
DO - 10.1109/SAMPTA.2015.7148850
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AN - SCOPUS:84941042384
T3 - 2015 International Conference on Sampling Theory and Applications, SampTA 2015
SP - 58
EP - 62
BT - 2015 International Conference on Sampling Theory and Applications, SampTA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Sampling Theory and Applications, SampTA 2015
Y2 - 25 May 2015 through 29 May 2015
ER -